Chak Sangma

36 papers and 1.0k indexed citations i.

About

Chak Sangma is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Chak Sangma has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Biomedical Engineering and 11 papers in Epidemiology. Recurrent topics in Chak Sangma’s work include Biosensors and Analytical Detection (8 papers), Influenza Virus Research Studies (7 papers) and Mosquito-borne diseases and control (5 papers). Chak Sangma is often cited by papers focused on Biosensors and Analytical Detection (8 papers), Influenza Virus Research Studies (7 papers) and Mosquito-borne diseases and control (5 papers). Chak Sangma collaborates with scholars based in Thailand, Austria and Vietnam. Chak Sangma's co-authors include Peter A. Lieberzeit, Arunee Thitithanyanont, Boonsong Kongkathip, Ngampong Kongkathip, Suwaporn Luangkamin, Palangpon Kongsaeree, Pongpun Siripong, Prasert Auewarakul, Pa‐thai Yenchitsomanus and M. Paul Gleeson and has published in prestigious journals such as Analytical Biochemistry, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Chak Sangma i

Fields of papers citing papers by Chak Sangma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chak Sangma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chak Sangma. The network helps show where Chak Sangma may publish in the future.

Countries citing papers authored by Chak Sangma

Since Specialization
Citations

This map shows the geographic impact of Chak Sangma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chak Sangma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chak Sangma more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025